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src="https://0.academia-photos.com/29857/9709/9189/s200_andrej.dujella.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://unizg.academia.edu/AndrejDujella">Andrej Dujella</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Zagreb</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://uppsala.academia.edu/HeminKoyi"><img class="profile-avatar u-positionAbsolute" alt="Hemin Koyi" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/102248/28141/11213115/s200_hemin.koyi.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://uppsala.academia.edu/HeminKoyi">Hemin Koyi</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Uppsala University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://uel.academia.edu/JanaJavornik"><img class="profile-avatar u-positionAbsolute" alt="Jana Javornik" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/113072/30527/13170018/s200_jana.javornik.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://uel.academia.edu/JanaJavornik">Jana Javornik</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of East London</p></div></div><div class="suggested-user-card"><div 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onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/161482/41323/141954071/s200_gwen.robbins_schug.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://uncg.academia.edu/GwenRobbinsSchug">Gwen Robbins Schug</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of North Carolina at Greensboro</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://usal.academia.edu/GabrielGutierrezAlonso"><img class="profile-avatar u-positionAbsolute" alt="Gabriel Gutierrez-Alonso" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/175637/822125/1022101/s200_gabriel.gutierrez-alonso.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://usal.academia.edu/GabrielGutierrezAlonso">Gabriel Gutierrez-Alonso</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Salamanca</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://mq.academia.edu/JohnSutton"><img class="profile-avatar u-positionAbsolute" alt="John Sutton" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/176044/43811/40295/s200_john.sutton.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://mq.academia.edu/JohnSutton">John Sutton</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Macquarie University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://ufrgs.academia.edu/ErosCarvalho"><img class="profile-avatar u-positionAbsolute" alt="Eros Carvalho" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/176585/88715/48865541/s200_eros.carvalho.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://ufrgs.academia.edu/ErosCarvalho">Eros Carvalho</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Universidade Federal do Rio Grande do Sul</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://swansea.academia.edu/KevinArbuckle"><img class="profile-avatar u-positionAbsolute" alt="Kevin Arbuckle" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/191329/90380/6936137/s200_kevin.arbuckle.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://swansea.academia.edu/KevinArbuckle">Kevin Arbuckle</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Swansea University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://ku-dk.academia.edu/JesperHoffmeyer"><img class="profile-avatar u-positionAbsolute" alt="Jesper Hoffmeyer" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/241162/92724/102335/s200_jesper.hoffmeyer.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://ku-dk.academia.edu/JesperHoffmeyer">Jesper Hoffmeyer</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Copenhagen</p></div></div></ul></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Bertrand Langrand</h3></div><div class="js-work-strip profile--work_container" data-work-id="123801031"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/123801031/Simulation_of_Water_Entry_Exit_Problems_Highlighting_Suction_Phenomena_by_Coupled_Eulerian_Lagrangian_Approach"><img alt="Research paper thumbnail of Simulation of Water Entry-Exit Problems Highlighting Suction Phenomena by Coupled Eulerian-Lagrangian Approach" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/123801031/Simulation_of_Water_Entry_Exit_Problems_Highlighting_Suction_Phenomena_by_Coupled_Eulerian_Lagrangian_Approach">Simulation of Water Entry-Exit Problems Highlighting Suction Phenomena by Coupled Eulerian-Lagrangian Approach</a></div><div class="wp-workCard_item"><span>Social Science Research Network</span><span>, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801031"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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href="https://www.academia.edu/123801030/Some_Advantages_of_Advanced_Inverse_Methods_to_Identify_Viscoplastic_and_Damage_Material_Model_Parameters"><img alt="Research paper thumbnail of Some Advantages of Advanced Inverse Methods to Identify Viscoplastic and Damage Material Model Parameters" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/123801030/Some_Advantages_of_Advanced_Inverse_Methods_to_Identify_Viscoplastic_and_Damage_Material_Model_Parameters">Some Advantages of Advanced Inverse Methods to Identify Viscoplastic and Damage Material Model Parameters</a></div><div class="wp-workCard_item"><span>John Wiley & Sons, Inc. eBooks</span><span>, Jan 10, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801030"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801030"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801030; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=123801030]").text(description); $(".js-view-count[data-work-id=123801030]").attr('title', description).tooltip(); }); 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window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=123801030]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":123801030,"title":"Some Advantages of Advanced Inverse Methods to Identify Viscoplastic and Damage Material Model Parameters","internal_url":"https://www.academia.edu/123801030/Some_Advantages_of_Advanced_Inverse_Methods_to_Identify_Viscoplastic_and_Damage_Material_Model_Parameters","owner_id":39454392,"coauthors_can_edit":true,"owner":{"id":39454392,"first_name":"Bertrand","middle_initials":null,"last_name":"Langrand","page_name":"BertrandLangrand","domain_name":"onera","created_at":"2015-11-30T04:16:47.267-08:00","display_name":"Bertrand Langrand","url":"https://onera.academia.edu/BertrandLangrand"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="123801029"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801029/Heterogeneous_Fields_Based_Tests_for_Identification_of_Materials_Constitutive_Models_at_High_Rate_of_Strains"><img alt="Research paper thumbnail of Heterogeneous Fields Based Tests for Identification of Materials Constitutive Models at High Rate of Strains" class="work-thumbnail" src="https://attachments.academia-assets.com/118149421/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801029/Heterogeneous_Fields_Based_Tests_for_Identification_of_Materials_Constitutive_Models_at_High_Rate_of_Strains">Heterogeneous Fields Based Tests for Identification of Materials Constitutive Models at High Rate of Strains</a></div><div class="wp-workCard_item"><span>HAL (Le Centre pour la Communication Scientifique Directe)</span><span>, Jun 13, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The lecture aims at providing to the scientific community a synthesis of the research activities ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The lecture aims at providing to the scientific community a synthesis of the research activities performed at the authors laboratories in the field of the characterisation of materials constitutive behaviour and damage under dynamic loadings [1-6]. The characterisation of material properties is very challenging, especially when the number of material parameters governing the constitutive equations is significant. This is particularly true when considering anisotropic materials and/or strongly nonlinear constitutive models, for example, in viscoplasticity or damage theories. Different normalized tests are necessary to calculate the parameters of the material models. Tests are generally exploited based on statically determined approach, i.e. by assuming that the mechanical fields are homogeneous over the specimen gauge length. A first limitation is that several tests are needed to characterize material behaviour dependency to strain-rate, e.g., as each test must be performed at a constant (over time) and uniform (over gauge length) strain rate. Moreover, material parameters are obtained with those tests in one loading direction while constitutive equations involve all strain and stress tensors components. Consequently, a large number of tests are required when complex behaviours at high rate of strains have to be characterised. The limitations of this statically determined approach can be overcome with the statically undetermined approach that considers no hypothesis on homogeneity of mechanical fields and therefore no constraint on loading conditions and test exploitation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b320813882bafb79cc73094c04028e75" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149421,"asset_id":123801029,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149421/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801029"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801029"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801029; 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</script> <div class="js-work-strip profile--work_container" data-work-id="123801027"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/123801027/Robustness_of_specimen_design_criteria_for_identification_of_anisotropic_mechanical_behaviour_from_heterogeneous_mechanical_fields"><img alt="Research paper thumbnail of Robustness of specimen design criteria for identification of anisotropic mechanical behaviour from heterogeneous mechanical fields" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/123801027/Robustness_of_specimen_design_criteria_for_identification_of_anisotropic_mechanical_behaviour_from_heterogeneous_mechanical_fields">Robustness of specimen design criteria for identification of anisotropic mechanical behaviour from heterogeneous mechanical fields</a></div><div class="wp-workCard_item"><span>Computational Materials Science</span><span>, May 1, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801027"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801027"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801027; 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</script> <div class="js-work-strip profile--work_container" data-work-id="123801026"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801026/Impact_of_Full_field_Measurement_Biases_on_Identification_of_Anisotropic_Material_Behavior_Model"><img alt="Research paper thumbnail of Impact of Full-field Measurement Biases on Identification of Anisotropic Material Behavior Model" class="work-thumbnail" src="https://attachments.academia-assets.com/118149418/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801026/Impact_of_Full_field_Measurement_Biases_on_Identification_of_Anisotropic_Material_Behavior_Model">Impact of Full-field Measurement Biases on Identification of Anisotropic Material Behavior Model</a></div><div class="wp-workCard_item"><span>HAL (Le Centre pour la Communication Scientifique Directe)</span><span>, Jun 13, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Commercial aviation industry is facing important challenges regarding the reduction of CO2 emissi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Commercial aviation industry is facing important challenges regarding the reduction of CO2 emissions. In addition to studies on propulsion systems, aircraft manufacturers are consistently improving manufacturing techniques, part design and selection process of new lightweight materials to reduce the weight of aircraft. The majority of studies in these topics uses numerical modelling and simulations based on Finite Element Analysis (FEA). The relevance of these simulations depends partly on the accuracy of constitutive equations used for material behaviour modelling, which can be complex.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a4a71459b0c9656e2757b13937aae92b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149418,"asset_id":123801026,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149418/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801026"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801026"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801026; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="123801025"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/123801025/Toward_the_modelling_of_riveted_assemblies_by_super_finite_elements_in_fast_dynamics"><img alt="Research paper thumbnail of Toward the modelling of riveted assemblies by super-finite elements in fast dynamics" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/123801025/Toward_the_modelling_of_riveted_assemblies_by_super_finite_elements_in_fast_dynamics">Toward the modelling of riveted assemblies by super-finite elements in fast dynamics</a></div><div class="wp-workCard_item"><span>HAL (Le Centre pour la Communication Scientifique Directe)</span><span>, Aug 1, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The finite element analysis of the behaviour of airframes subjected to crash or impact l...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT The finite element analysis of the behaviour of airframes subjected to crash or impact loadings requires the use of suitable finite elements, in particular for the modelling of riveted assemblies. In order to predict the structure survivability, it is indeed necessary to focus on these areas because stress concentrations, and consequently crack initiations, which can lead to catastrophic loss of the airplane, are likely to occur. Because of the local nature of the phenomenon, the disproportion between the aircraft and the assembly scale, and the large number of fasteners in a complete structure (more than 100 000), super-elements for the fasteners and for the perforated sheets have been developed in order to suitably model assemblies in structural calculations. However, these two types of finite elements can not be currently connected together. The paper presented here focuses on how to link these finite elements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801025"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801025"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801025; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=123801025]").text(description); $(".js-view-count[data-work-id=123801025]").attr('title', description).tooltip(); 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The different testing devices to load the material sample on the expected strain rate range are presented and discussed first, including the different experimental measurement techniques applied to analyse the stress-strain curves. From the normalised direct approach, two different numerical approaches, based on inverse problem resolution techniques, are introduced and discussed: the well-know Finite Element Model Updating method and the most advanced one based on the Virtual Fields Method, that enables to take the full advantages of full-field measurement techniques, such the Digital Image Correlation method. Applications for different materials and models, viscoplastic and damage, are given to support these advanced methods, including the dynamic strength of riveted and welded assemblies.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6fdbebf2176de5eaee33453d8a19f9e2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149434,"asset_id":123801024,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149434/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801024"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801024"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801024; 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</script> <div class="js-work-strip profile--work_container" data-work-id="123801022"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801022/Simulation_num%C3%A9rique_de_forces_de_succion_lors_dimpacts_hydrodynamiques_par_une_m%C3%A9thode_de_couplage_Euler_Lagrange"><img alt="Research paper thumbnail of Simulation numérique de forces de succion lors d'impacts hydrodynamiques par une méthode de couplage Euler Lagrange" class="work-thumbnail" src="https://attachments.academia-assets.com/118149420/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801022/Simulation_num%C3%A9rique_de_forces_de_succion_lors_dimpacts_hydrodynamiques_par_une_m%C3%A9thode_de_couplage_Euler_Lagrange">Simulation numérique de forces de succion lors d'impacts hydrodynamiques par une méthode de couplage Euler Lagrange</a></div><div class="wp-workCard_item"><span>HAL (Le Centre pour la Communication Scientifique Directe)</span><span>, Aug 29, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Simulation numérique de forces de succion lors d'impacts hydrodynamiques par une méthode de coupl...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Simulation numérique de forces de succion lors d'impacts hydrodynamiques par une méthode de couplage Euler Lagrange M. GORON a,c , B. LANGRAND a,b , T. FOUREST a , N. JACQUES c , A.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="369d992ade28da9d2265a9976d8a53d5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149420,"asset_id":123801022,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149420/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801022"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801022"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801022; 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</script> <div class="js-work-strip profile--work_container" data-work-id="123801020"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801020/Iterative_Experimental_Numerical_Procedure_For_Improvement_Of_Dynamic_Experimental_Facilities"><img alt="Research paper thumbnail of Iterative Experimental / Numerical Procedure For Improvement Of Dynamic Experimental Facilities" class="work-thumbnail" src="https://attachments.academia-assets.com/118149415/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801020/Iterative_Experimental_Numerical_Procedure_For_Improvement_Of_Dynamic_Experimental_Facilities">Iterative Experimental / Numerical Procedure For Improvement Of Dynamic Experimental Facilities</a></div><div class="wp-workCard_item"><span>Sustainability</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Onera performs dynamic tests for material and assembly characterization using a high velocity hyd...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Onera performs dynamic tests for material and assembly characterization using a high velocity hydraulic jack. When the impact velocity increases, the device is disturbed by a natural frequency (around 5kHz). As a consequence, oscillations appear on experimental responses (mainly for the load), measurements cannot be used directly, and the operating range is limited to [0, 10Os-l] for strain rates. Today, Onera uses filtering techniques to improve the operating range and measure mechanical properties over a maximum of strain rate range. Nevertheless, the tools may be ineffective for high velocity impact tests. The paper deals with an original method to throw natural frequencies out of the experimental device used for dynamic characterization. It is based on an experimental and numerical modal analysis of each part of the device. A shock hammer and Nastran FE code are used for the experimental and numerical stages respectively. A numerical sensitivity study is carried out regarding th...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="95ee9f65fee67303bce5baf23d516657" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149415,"asset_id":123801020,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149415/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801020"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801020"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801020; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="123801019"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801019/A_non_local_damage_approach_compatible_with_dynamic_explicit_simulations_and_parallel_computing"><img alt="Research paper thumbnail of A non-local damage approach compatible with dynamic explicit simulations and parallel computing" class="work-thumbnail" src="https://attachments.academia-assets.com/118149435/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801019/A_non_local_damage_approach_compatible_with_dynamic_explicit_simulations_and_parallel_computing">A non-local damage approach compatible with dynamic explicit simulations and parallel computing</a></div><div class="wp-workCard_item"><span>International Journal of Solids and Structures</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the automotive industry, crack prediction is an important step of the design: its accuracy is ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the automotive industry, crack prediction is an important step of the design: its accuracy is crucial to avoid additional development costs and delays. However, its simulation is not always reliable yet which could be explained by the use of too simple fracture criteria. A possible solution could be the improvement of the fracture behavior prediction through the use of coupled damage models. Unlike the fracture criteria, damage models consider the loss of resistance on the elements behavior, which gives a better definition of the strain localization and crack path. However, due to stress softening, the problem becomes ill posed, generating damage localization on a single row of elements. The results are then dependent on the mesh size and the mesh orientation. To obtain mesh independent results, a possible solution is to resort to regularization methods, but only a few of them are compatible with dynamic explicit simulations, especially for ductile failure. This paper proposes to extend the implicit second gradient non-local regularization approach to crash simulations. This is achieved by modifying the second gradient equation to ensure its robustness for dynamic explicit simulations. This extended second gradient approach is implemented by enriching under-integrated continuum elements so as to naturally preserve the parallel computing ability. A comparison between simulations and experimental results obtained with specimens machined in a dual-phase steel sheet is realized to validate the proposed approach. Numerical results obtained with different mesh sizes and mesh orientations illustrate the mesh independence and are in very good agreement with the experiments in terms of both 1 load-displacement curves and crack path.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="91d436a381993f438f880d0d2890252b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149435,"asset_id":123801019,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149435/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801019"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801019"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801019; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=123801019]").text(description); $(".js-view-count[data-work-id=123801019]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 123801019; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='123801019']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "91d436a381993f438f880d0d2890252b" } } $('.js-work-strip[data-work-id=123801019]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":123801019,"title":"A non-local damage approach compatible with dynamic explicit simulations and parallel computing","internal_url":"https://www.academia.edu/123801019/A_non_local_damage_approach_compatible_with_dynamic_explicit_simulations_and_parallel_computing","owner_id":39454392,"coauthors_can_edit":true,"owner":{"id":39454392,"first_name":"Bertrand","middle_initials":null,"last_name":"Langrand","page_name":"BertrandLangrand","domain_name":"onera","created_at":"2015-11-30T04:16:47.267-08:00","display_name":"Bertrand Langrand","url":"https://onera.academia.edu/BertrandLangrand"},"attachments":[{"id":118149435,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118149435/thumbnails/1.jpg","file_name":"DMAS21019_postprint.pdf","download_url":"https://www.academia.edu/attachments/118149435/download_file","bulk_download_file_name":"A_non_local_damage_approach_compatible_w.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118149435/DMAS21019_postprint-libre.pdf?1726129222=\u0026response-content-disposition=attachment%3B+filename%3DA_non_local_damage_approach_compatible_w.pdf\u0026Expires=1739833998\u0026Signature=TSjqX6RZeStg-6lygnK4iC4q5ZVydFfPrxiIP~Qf5Came4hZeCH5MP4da9ITV-w73DINHEtTi7xN6gRxzQoqOLab-mP9Q2cnISP1wjh8hGN7shPtya7rA790m94-wI2s~anqdKsADWF4VAp5e9bLnZPxvN2GFMyWWn2lZnh1Dmnk6iepQdTfhKQNEaXh9EbyT4ssmVWqhhSDeZ6b6jhGq5uOmoaeoZu426PFrUp58c0OXTHI6hL-crxB6P0NNMeEA4VSnBF~YcLVSH39iZ7XwBTpsbEP2F4TrCs7lyA41M41TPvnPsLvVNhkaXghqobwhZT72lpwnJF8KPpaL3Dnrg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="123801018"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801018/A_review_of_characterisation_and_parameters_identification_of_materials_constitutive_and_damage_models_From_normalised_direct_approach_to_most_advanced_inverse_problem_resolution"><img alt="Research paper thumbnail of A review of characterisation and parameters identification of materials constitutive and damage models: From normalised direct approach to most advanced inverse problem resolution" class="work-thumbnail" src="https://attachments.academia-assets.com/118149436/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801018/A_review_of_characterisation_and_parameters_identification_of_materials_constitutive_and_damage_models_From_normalised_direct_approach_to_most_advanced_inverse_problem_resolution">A review of characterisation and parameters identification of materials constitutive and damage models: From normalised direct approach to most advanced inverse problem resolution</a></div><div class="wp-workCard_item"><span>International Journal of Impact Engineering</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A review of characterisation and parameters identification of materials constitutive and damage m...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A review of characterisation and parameters identification of materials constitutive and damage models: from normalised direct approach to most advanced inverse problem resolution,</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="347fb6ca59478999d98e531cb6639694" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149436,"asset_id":123801018,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149436/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801018"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801018"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801018; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=123801018]").text(description); $(".js-view-count[data-work-id=123801018]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 123801018; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='123801018']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "347fb6ca59478999d98e531cb6639694" } } $('.js-work-strip[data-work-id=123801018]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":123801018,"title":"A review of characterisation and parameters identification of materials constitutive and damage models: From normalised direct approach to most advanced inverse problem resolution","internal_url":"https://www.academia.edu/123801018/A_review_of_characterisation_and_parameters_identification_of_materials_constitutive_and_damage_models_From_normalised_direct_approach_to_most_advanced_inverse_problem_resolution","owner_id":39454392,"coauthors_can_edit":true,"owner":{"id":39454392,"first_name":"Bertrand","middle_initials":null,"last_name":"Langrand","page_name":"BertrandLangrand","domain_name":"onera","created_at":"2015-11-30T04:16:47.267-08:00","display_name":"Bertrand Langrand","url":"https://onera.academia.edu/BertrandLangrand"},"attachments":[{"id":118149436,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118149436/thumbnails/1.jpg","file_name":"j.ijimpeng.2017.01.02820240912-1-pxkodp.pdf","download_url":"https://www.academia.edu/attachments/118149436/download_file","bulk_download_file_name":"A_review_of_characterisation_and_paramet.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118149436/j.ijimpeng.2017.01.02820240912-1-pxkodp-libre.pdf?1726129210=\u0026response-content-disposition=attachment%3B+filename%3DA_review_of_characterisation_and_paramet.pdf\u0026Expires=1739833998\u0026Signature=YXbaqwRarHX5JUhKptaCknJDfHwVwWu-S7-1ByCQAddLlnArjXpklIoUYkwMB5O2pdfKJobkZPbsr4VSJkalADaeoMJA8qv-MsDLAzI4Wu7Za8rko4ueHmcnsJkJOv8oS3ow9efMutXDshDtXIp7AfGWVOL8RSymh2WVinAM0meyt8p1tiVQ1-enIqG97aThr1LVjCjq4zHAk3bYuVJKVODQUc9gVYt8HyqcLGhWeapShW-qzig0RbceqOpTZm~vLUFA--9KUAX8sKI2C~VqvTH2ULynBqxeDZWt9AzBOxyAF7wOGud4mBPrfJz0K1v8eB3f4A42AVWuZVQrILIBuA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="123801017"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/123801017/Macro_modeling_of_spot_weld_strength_and_failure"><img alt="Research paper thumbnail of Macro-modeling of spot weld strength and failure" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/123801017/Macro_modeling_of_spot_weld_strength_and_failure">Macro-modeling of spot weld strength and failure</a></div><div class="wp-workCard_item"><span>Engineering Computations</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Purpose This paper aims to propose a macro modeling approach to simulate the mechanical behavior ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Purpose This paper aims to propose a macro modeling approach to simulate the mechanical behavior and the failure of spot welded joints in structural crashworthiness computations. Design/methodology/approach A connector element is proposed to simulate the behavior and failure of spot weld joints. An elastic-plastic damageable model is used to describe the non-linear response and rupture. The connector model involves several parameters that have to be defined. Some are directly identified based on mechanical interpretations and experimental tests characteristics. The remaining parameters are identified through a finite element model updating approach using Arcan tests. Resulting from a sensitivity analysis, an original two steps optimization methodology, using the Modes I and II Arcan tests results sequentially, has been implemented to identify the remaining model parameters. Findings The numerical results for Arcan tests in mixed Modes I/II are in a good agreement with the experiment...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801017"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801017"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801017; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=123801017]").text(description); $(".js-view-count[data-work-id=123801017]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 123801017; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='123801017']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=123801017]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":123801017,"title":"Macro-modeling of spot weld strength and failure","internal_url":"https://www.academia.edu/123801017/Macro_modeling_of_spot_weld_strength_and_failure","owner_id":39454392,"coauthors_can_edit":true,"owner":{"id":39454392,"first_name":"Bertrand","middle_initials":null,"last_name":"Langrand","page_name":"BertrandLangrand","domain_name":"onera","created_at":"2015-11-30T04:16:47.267-08:00","display_name":"Bertrand Langrand","url":"https://onera.academia.edu/BertrandLangrand"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="123801016"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/123801016/Identification_param%C3%A9trique_des_lois_de_comportement_de_lacier_XC48_en_compression_%C3%89volution_vers_une_m%C3%A9thode_inverse"><img alt="Research paper thumbnail of Identification paramétrique des lois de comportement de l'acier XC48 en compression. Évolution vers une méthode inverse" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/123801016/Identification_param%C3%A9trique_des_lois_de_comportement_de_lacier_XC48_en_compression_%C3%89volution_vers_une_m%C3%A9thode_inverse">Identification paramétrique des lois de comportement de l'acier XC48 en compression. Évolution vers une méthode inverse</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Des essais de compression sont menes sur un acier XC48 (norme AFNOR 1048AISI), sensible a la vite...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Des essais de compression sont menes sur un acier XC48 (norme AFNOR 1048AISI), sensible a la vitesse de deformation. Deux types d&#39;eprouvettes, tubulaire et haltere cylindrique, sont testees a differentes vitesses de deformation (10 -3 s -1 ≤ e ρ ≤ 150 s -1 ), c&#39;est-a-dire pour des vitesses d&#39;impact comprises entre 5 mm/min et 6 m/s. Le modele de Johnson-Cook est evalue a partir des courbes de compression de l&#39;acier XC48 (exprimees sous leur format rationnel) par une technique d&#39;identification parametrique, fondee sur les methodes de gradients conjugues. Une methode inverse est decrite, pour tenir compte des interactions entre l&#39;eprouvette et son environnement d&#39;essai.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801016"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801016"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801016; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=123801016]").text(description); $(".js-view-count[data-work-id=123801016]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 123801016; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='123801016']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=123801016]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":123801016,"title":"Identification paramétrique des lois de comportement de l'acier XC48 en compression. Évolution vers une méthode inverse","internal_url":"https://www.academia.edu/123801016/Identification_param%C3%A9trique_des_lois_de_comportement_de_lacier_XC48_en_compression_%C3%89volution_vers_une_m%C3%A9thode_inverse","owner_id":39454392,"coauthors_can_edit":true,"owner":{"id":39454392,"first_name":"Bertrand","middle_initials":null,"last_name":"Langrand","page_name":"BertrandLangrand","domain_name":"onera","created_at":"2015-11-30T04:16:47.267-08:00","display_name":"Bertrand Langrand","url":"https://onera.academia.edu/BertrandLangrand"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="123801012"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801012/Impact_of_DIC_biases_on_the_selection_process_of_a_unique_test_for_anisotropic_plasticity_characterization"><img alt="Research paper thumbnail of Impact of DIC biases on the selection process of a unique test for anisotropic plasticity characterization" class="work-thumbnail" src="https://attachments.academia-assets.com/118149412/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801012/Impact_of_DIC_biases_on_the_selection_process_of_a_unique_test_for_anisotropic_plasticity_characterization">Impact of DIC biases on the selection process of a unique test for anisotropic plasticity characterization</a></div><div class="wp-workCard_item"><span>EPJ Web of Conferences</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The exploitation of field measurements with inverse identification methods may reduce the number ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The exploitation of field measurements with inverse identification methods may reduce the number of required tests to characterize complex material constitutive models, provided that the generated stress field is sensitive enough to the targeted material parameters. For anisotropic elastoplastic material, the objective is to generate various stress states in the specimen through a single test. In this study, the effect of Digital Image Correlation measurement biases on the selection of the most suitable specimen geometry for characterisation of a complex anisotropic plasticity criterion using a unique uniaxial tensile test is investigated. To this aim, finite element (FE) based synthetic images are generated and DIC is used on these images. The biases in DIC measurement result in biased stress states that may cause errors in identification results.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9cf06df76e1bf449c2f51b2e83e90f99" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149412,"asset_id":123801012,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149412/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801012"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801012"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801012; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="104869546"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/104869546/The_Laplace_Virtual_Fields_Method_for_the_direct_extraction_of_viscoelastic_properties_of_materials"><img alt="Research paper thumbnail of The Laplace Virtual Fields Method for the direct extraction of viscoelastic properties of materials" class="work-thumbnail" src="https://attachments.academia-assets.com/104482354/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/104869546/The_Laplace_Virtual_Fields_Method_for_the_direct_extraction_of_viscoelastic_properties_of_materials">The Laplace Virtual Fields Method for the direct extraction of viscoelastic properties of materials</a></div><div class="wp-workCard_item"><span>Comptes Rendus. Mécanique</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This work proposes a new method aiming at the direct identification of viscoelastic properties of...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This work proposes a new method aiming at the direct identification of viscoelastic properties of materials with a Laplace formalism implemented in the Virtual Fields Method and named L-VFM. Using a single test, this formalism allows for a direct extraction of the different viscoelastic properties without any parametric description of their time dependency. The Laplace transform enables the use of theory of elasticity in the Laplace domain. The constitutive equations are expressed in the plane stress framework with the 2D plane stress stiffness coefficients. The conversion from the 2D plane stress stiffness coefficients to the bulk and shear moduli as well as Poisson's ratio and Young's modulus is realised in the Laplace domain. The inverse Laplace transform is then applied to these functions in order to obtain the temporal evolution of the material properties. The L-VFM changes the viscoelastic identification from a non-linear to a linear process.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="939a87d83249d38b40675ce52c6a4072" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":104482354,"asset_id":104869546,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/104482354/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="104869546"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="104869546"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 104869546; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="104869544"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/104869544/Experimental_and_numerical_simulation_strategies_for_the_prediction_of_the_macroscopic_behavior_and_rupture_of_structural_materials_under_fast_dynamic_loadings"><img alt="Research paper thumbnail of Experimental and numerical simulation strategies for the prediction of the macroscopic behavior and rupture of structural materials under fast dynamic loadings" class="work-thumbnail" src="https://attachments.academia-assets.com/104482359/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/104869544/Experimental_and_numerical_simulation_strategies_for_the_prediction_of_the_macroscopic_behavior_and_rupture_of_structural_materials_under_fast_dynamic_loadings">Experimental and numerical simulation strategies for the prediction of the macroscopic behavior and rupture of structural materials under fast dynamic loadings</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The presented research has been done at ONERA The French Aerospace Lab, in collaboration with man...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The presented research has been done at ONERA The French Aerospace Lab, in collaboration with many academic and industrial partners. They are aimed at improving the safety and protection of passengers and crew in aircraft transport, thanks to an increased resistance of structures and decrease of high energy impacts vulnerability. This paper gives an overview of recent progress made in the experimental and numerical fields to better predict the dynamic behavior and strength of primary structure materials. In this frame, the particular questions of the mechanical characterization and numerical modeling of behavior and damage laws, of crack initiation and propagation, and of failure (be it ductile or fragile) are addressed. The described results concern both bulk materials (e.g., metals) and structured materials (e.g., composite laminates), at the macroscale level for the former and mesoscale level for the latter.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="96aa775faa64783382ef176cf584908b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":104482359,"asset_id":104869544,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/104482359/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="104869544"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="104869544"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 104869544; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="104869543"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/104869543/Conception_dun_essai_purement_inertiel_pour_la_caract%C3%A9risation_du_comportement_dynamique_de_mat%C3%A9riaux_m%C3%A9talliques_par_la_M%C3%A9thode_des_Champs_Virtuels"><img alt="Research paper thumbnail of Conception d'un essai purement inertiel pour la caractérisation du comportement dynamique de matériaux métalliques par la Méthode des Champs Virtuels" class="work-thumbnail" src="https://attachments.academia-assets.com/104482353/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/104869543/Conception_dun_essai_purement_inertiel_pour_la_caract%C3%A9risation_du_comportement_dynamique_de_mat%C3%A9riaux_m%C3%A9talliques_par_la_M%C3%A9thode_des_Champs_Virtuels">Conception d'un essai purement inertiel pour la caractérisation du comportement dynamique de matériaux métalliques par la Méthode des Champs Virtuels</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The following work aims at designing a novel test to characterize the dynamic behaviour of metall...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The following work aims at designing a novel test to characterize the dynamic behaviour of metallic materials. Using the Virtual Fields Method (VFM), this test should enable the identification of elasticviscoplastic model that is valid on a wide strain and strain-rate range. In order to do so, several test settings including notably several specimen geometries are simulated. Two criteria will govern the selection : (1) the strain and the strain-rate range (2) the identifiability of the parameters. Whereas the 23ème Congrès Français de Mécanique Lille, 28 au 1er Septembre 2017 first criterion is rated with an advanced processing of the mechanical fields, the other is evaluated based on FE simulations reproducing the shooting procedure with a Ultra-High-Speed camera. Finally, the extraction of the material parameters demonstrates the relevance of the test setting. Mots clefs : Méthode des Champs Virtuels, Méthode de grille ; DIC ; Dynamique ; Identification</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="45127039a4b6a26989cd8218d06cb9c1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":104482353,"asset_id":104869543,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/104482353/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="104869543"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="104869543"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 104869543; 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</script> <div class="js-work-strip profile--work_container" data-work-id="123801030"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/123801030/Some_Advantages_of_Advanced_Inverse_Methods_to_Identify_Viscoplastic_and_Damage_Material_Model_Parameters"><img alt="Research paper thumbnail of Some Advantages of Advanced Inverse Methods to Identify Viscoplastic and Damage Material Model Parameters" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/123801030/Some_Advantages_of_Advanced_Inverse_Methods_to_Identify_Viscoplastic_and_Damage_Material_Model_Parameters">Some Advantages of Advanced Inverse Methods to Identify Viscoplastic and Damage Material Model Parameters</a></div><div class="wp-workCard_item"><span>John Wiley & Sons, Inc. eBooks</span><span>, Jan 10, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801030"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801030"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801030; 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</script> <div class="js-work-strip profile--work_container" data-work-id="123801029"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801029/Heterogeneous_Fields_Based_Tests_for_Identification_of_Materials_Constitutive_Models_at_High_Rate_of_Strains"><img alt="Research paper thumbnail of Heterogeneous Fields Based Tests for Identification of Materials Constitutive Models at High Rate of Strains" class="work-thumbnail" src="https://attachments.academia-assets.com/118149421/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801029/Heterogeneous_Fields_Based_Tests_for_Identification_of_Materials_Constitutive_Models_at_High_Rate_of_Strains">Heterogeneous Fields Based Tests for Identification of Materials Constitutive Models at High Rate of Strains</a></div><div class="wp-workCard_item"><span>HAL (Le Centre pour la Communication Scientifique Directe)</span><span>, Jun 13, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The lecture aims at providing to the scientific community a synthesis of the research activities ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The lecture aims at providing to the scientific community a synthesis of the research activities performed at the authors laboratories in the field of the characterisation of materials constitutive behaviour and damage under dynamic loadings [1-6]. The characterisation of material properties is very challenging, especially when the number of material parameters governing the constitutive equations is significant. This is particularly true when considering anisotropic materials and/or strongly nonlinear constitutive models, for example, in viscoplasticity or damage theories. Different normalized tests are necessary to calculate the parameters of the material models. Tests are generally exploited based on statically determined approach, i.e. by assuming that the mechanical fields are homogeneous over the specimen gauge length. A first limitation is that several tests are needed to characterize material behaviour dependency to strain-rate, e.g., as each test must be performed at a constant (over time) and uniform (over gauge length) strain rate. Moreover, material parameters are obtained with those tests in one loading direction while constitutive equations involve all strain and stress tensors components. Consequently, a large number of tests are required when complex behaviours at high rate of strains have to be characterised. The limitations of this statically determined approach can be overcome with the statically undetermined approach that considers no hypothesis on homogeneity of mechanical fields and therefore no constraint on loading conditions and test exploitation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b320813882bafb79cc73094c04028e75" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149421,"asset_id":123801029,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149421/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801029"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801029"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801029; 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</script> <div class="js-work-strip profile--work_container" data-work-id="123801027"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/123801027/Robustness_of_specimen_design_criteria_for_identification_of_anisotropic_mechanical_behaviour_from_heterogeneous_mechanical_fields"><img alt="Research paper thumbnail of Robustness of specimen design criteria for identification of anisotropic mechanical behaviour from heterogeneous mechanical fields" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/123801027/Robustness_of_specimen_design_criteria_for_identification_of_anisotropic_mechanical_behaviour_from_heterogeneous_mechanical_fields">Robustness of specimen design criteria for identification of anisotropic mechanical behaviour from heterogeneous mechanical fields</a></div><div class="wp-workCard_item"><span>Computational Materials Science</span><span>, May 1, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801027"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801027"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801027; 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</script> <div class="js-work-strip profile--work_container" data-work-id="123801026"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801026/Impact_of_Full_field_Measurement_Biases_on_Identification_of_Anisotropic_Material_Behavior_Model"><img alt="Research paper thumbnail of Impact of Full-field Measurement Biases on Identification of Anisotropic Material Behavior Model" class="work-thumbnail" src="https://attachments.academia-assets.com/118149418/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801026/Impact_of_Full_field_Measurement_Biases_on_Identification_of_Anisotropic_Material_Behavior_Model">Impact of Full-field Measurement Biases on Identification of Anisotropic Material Behavior Model</a></div><div class="wp-workCard_item"><span>HAL (Le Centre pour la Communication Scientifique Directe)</span><span>, Jun 13, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Commercial aviation industry is facing important challenges regarding the reduction of CO2 emissi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Commercial aviation industry is facing important challenges regarding the reduction of CO2 emissions. In addition to studies on propulsion systems, aircraft manufacturers are consistently improving manufacturing techniques, part design and selection process of new lightweight materials to reduce the weight of aircraft. The majority of studies in these topics uses numerical modelling and simulations based on Finite Element Analysis (FEA). The relevance of these simulations depends partly on the accuracy of constitutive equations used for material behaviour modelling, which can be complex.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a4a71459b0c9656e2757b13937aae92b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149418,"asset_id":123801026,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149418/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801026"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801026"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801026; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="123801025"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/123801025/Toward_the_modelling_of_riveted_assemblies_by_super_finite_elements_in_fast_dynamics"><img alt="Research paper thumbnail of Toward the modelling of riveted assemblies by super-finite elements in fast dynamics" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/123801025/Toward_the_modelling_of_riveted_assemblies_by_super_finite_elements_in_fast_dynamics">Toward the modelling of riveted assemblies by super-finite elements in fast dynamics</a></div><div class="wp-workCard_item"><span>HAL (Le Centre pour la Communication Scientifique Directe)</span><span>, Aug 1, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The finite element analysis of the behaviour of airframes subjected to crash or impact l...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT The finite element analysis of the behaviour of airframes subjected to crash or impact loadings requires the use of suitable finite elements, in particular for the modelling of riveted assemblies. In order to predict the structure survivability, it is indeed necessary to focus on these areas because stress concentrations, and consequently crack initiations, which can lead to catastrophic loss of the airplane, are likely to occur. Because of the local nature of the phenomenon, the disproportion between the aircraft and the assembly scale, and the large number of fasteners in a complete structure (more than 100 000), super-elements for the fasteners and for the perforated sheets have been developed in order to suitably model assemblies in structural calculations. However, these two types of finite elements can not be currently connected together. The paper presented here focuses on how to link these finite elements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801025"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801025"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801025; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=123801025]").text(description); $(".js-view-count[data-work-id=123801025]").attr('title', description).tooltip(); 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The different testing devices to load the material sample on the expected strain rate range are presented and discussed first, including the different experimental measurement techniques applied to analyse the stress-strain curves. From the normalised direct approach, two different numerical approaches, based on inverse problem resolution techniques, are introduced and discussed: the well-know Finite Element Model Updating method and the most advanced one based on the Virtual Fields Method, that enables to take the full advantages of full-field measurement techniques, such the Digital Image Correlation method. Applications for different materials and models, viscoplastic and damage, are given to support these advanced methods, including the dynamic strength of riveted and welded assemblies.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6fdbebf2176de5eaee33453d8a19f9e2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149434,"asset_id":123801024,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149434/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801024"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801024"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801024; 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</script> <div class="js-work-strip profile--work_container" data-work-id="123801022"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801022/Simulation_num%C3%A9rique_de_forces_de_succion_lors_dimpacts_hydrodynamiques_par_une_m%C3%A9thode_de_couplage_Euler_Lagrange"><img alt="Research paper thumbnail of Simulation numérique de forces de succion lors d'impacts hydrodynamiques par une méthode de couplage Euler Lagrange" class="work-thumbnail" src="https://attachments.academia-assets.com/118149420/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801022/Simulation_num%C3%A9rique_de_forces_de_succion_lors_dimpacts_hydrodynamiques_par_une_m%C3%A9thode_de_couplage_Euler_Lagrange">Simulation numérique de forces de succion lors d'impacts hydrodynamiques par une méthode de couplage Euler Lagrange</a></div><div class="wp-workCard_item"><span>HAL (Le Centre pour la Communication Scientifique Directe)</span><span>, Aug 29, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Simulation numérique de forces de succion lors d'impacts hydrodynamiques par une méthode de coupl...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Simulation numérique de forces de succion lors d'impacts hydrodynamiques par une méthode de couplage Euler Lagrange M. GORON a,c , B. LANGRAND a,b , T. FOUREST a , N. JACQUES c , A.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="369d992ade28da9d2265a9976d8a53d5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149420,"asset_id":123801022,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149420/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801022"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801022"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801022; 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</script> <div class="js-work-strip profile--work_container" data-work-id="123801020"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801020/Iterative_Experimental_Numerical_Procedure_For_Improvement_Of_Dynamic_Experimental_Facilities"><img alt="Research paper thumbnail of Iterative Experimental / Numerical Procedure For Improvement Of Dynamic Experimental Facilities" class="work-thumbnail" src="https://attachments.academia-assets.com/118149415/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801020/Iterative_Experimental_Numerical_Procedure_For_Improvement_Of_Dynamic_Experimental_Facilities">Iterative Experimental / Numerical Procedure For Improvement Of Dynamic Experimental Facilities</a></div><div class="wp-workCard_item"><span>Sustainability</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Onera performs dynamic tests for material and assembly characterization using a high velocity hyd...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Onera performs dynamic tests for material and assembly characterization using a high velocity hydraulic jack. When the impact velocity increases, the device is disturbed by a natural frequency (around 5kHz). As a consequence, oscillations appear on experimental responses (mainly for the load), measurements cannot be used directly, and the operating range is limited to [0, 10Os-l] for strain rates. Today, Onera uses filtering techniques to improve the operating range and measure mechanical properties over a maximum of strain rate range. Nevertheless, the tools may be ineffective for high velocity impact tests. The paper deals with an original method to throw natural frequencies out of the experimental device used for dynamic characterization. It is based on an experimental and numerical modal analysis of each part of the device. A shock hammer and Nastran FE code are used for the experimental and numerical stages respectively. A numerical sensitivity study is carried out regarding th...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="95ee9f65fee67303bce5baf23d516657" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149415,"asset_id":123801020,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149415/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801020"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801020"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801020; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="123801019"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801019/A_non_local_damage_approach_compatible_with_dynamic_explicit_simulations_and_parallel_computing"><img alt="Research paper thumbnail of A non-local damage approach compatible with dynamic explicit simulations and parallel computing" class="work-thumbnail" src="https://attachments.academia-assets.com/118149435/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801019/A_non_local_damage_approach_compatible_with_dynamic_explicit_simulations_and_parallel_computing">A non-local damage approach compatible with dynamic explicit simulations and parallel computing</a></div><div class="wp-workCard_item"><span>International Journal of Solids and Structures</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the automotive industry, crack prediction is an important step of the design: its accuracy is ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the automotive industry, crack prediction is an important step of the design: its accuracy is crucial to avoid additional development costs and delays. However, its simulation is not always reliable yet which could be explained by the use of too simple fracture criteria. A possible solution could be the improvement of the fracture behavior prediction through the use of coupled damage models. Unlike the fracture criteria, damage models consider the loss of resistance on the elements behavior, which gives a better definition of the strain localization and crack path. However, due to stress softening, the problem becomes ill posed, generating damage localization on a single row of elements. The results are then dependent on the mesh size and the mesh orientation. To obtain mesh independent results, a possible solution is to resort to regularization methods, but only a few of them are compatible with dynamic explicit simulations, especially for ductile failure. This paper proposes to extend the implicit second gradient non-local regularization approach to crash simulations. This is achieved by modifying the second gradient equation to ensure its robustness for dynamic explicit simulations. This extended second gradient approach is implemented by enriching under-integrated continuum elements so as to naturally preserve the parallel computing ability. A comparison between simulations and experimental results obtained with specimens machined in a dual-phase steel sheet is realized to validate the proposed approach. Numerical results obtained with different mesh sizes and mesh orientations illustrate the mesh independence and are in very good agreement with the experiments in terms of both 1 load-displacement curves and crack path.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="91d436a381993f438f880d0d2890252b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149435,"asset_id":123801019,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149435/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801019"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801019"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801019; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=123801019]").text(description); $(".js-view-count[data-work-id=123801019]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 123801019; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='123801019']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "91d436a381993f438f880d0d2890252b" } } $('.js-work-strip[data-work-id=123801019]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":123801019,"title":"A non-local damage approach compatible with dynamic explicit simulations and parallel computing","internal_url":"https://www.academia.edu/123801019/A_non_local_damage_approach_compatible_with_dynamic_explicit_simulations_and_parallel_computing","owner_id":39454392,"coauthors_can_edit":true,"owner":{"id":39454392,"first_name":"Bertrand","middle_initials":null,"last_name":"Langrand","page_name":"BertrandLangrand","domain_name":"onera","created_at":"2015-11-30T04:16:47.267-08:00","display_name":"Bertrand Langrand","url":"https://onera.academia.edu/BertrandLangrand"},"attachments":[{"id":118149435,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118149435/thumbnails/1.jpg","file_name":"DMAS21019_postprint.pdf","download_url":"https://www.academia.edu/attachments/118149435/download_file","bulk_download_file_name":"A_non_local_damage_approach_compatible_w.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118149435/DMAS21019_postprint-libre.pdf?1726129222=\u0026response-content-disposition=attachment%3B+filename%3DA_non_local_damage_approach_compatible_w.pdf\u0026Expires=1739833998\u0026Signature=TSjqX6RZeStg-6lygnK4iC4q5ZVydFfPrxiIP~Qf5Came4hZeCH5MP4da9ITV-w73DINHEtTi7xN6gRxzQoqOLab-mP9Q2cnISP1wjh8hGN7shPtya7rA790m94-wI2s~anqdKsADWF4VAp5e9bLnZPxvN2GFMyWWn2lZnh1Dmnk6iepQdTfhKQNEaXh9EbyT4ssmVWqhhSDeZ6b6jhGq5uOmoaeoZu426PFrUp58c0OXTHI6hL-crxB6P0NNMeEA4VSnBF~YcLVSH39iZ7XwBTpsbEP2F4TrCs7lyA41M41TPvnPsLvVNhkaXghqobwhZT72lpwnJF8KPpaL3Dnrg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="123801018"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801018/A_review_of_characterisation_and_parameters_identification_of_materials_constitutive_and_damage_models_From_normalised_direct_approach_to_most_advanced_inverse_problem_resolution"><img alt="Research paper thumbnail of A review of characterisation and parameters identification of materials constitutive and damage models: From normalised direct approach to most advanced inverse problem resolution" class="work-thumbnail" src="https://attachments.academia-assets.com/118149436/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801018/A_review_of_characterisation_and_parameters_identification_of_materials_constitutive_and_damage_models_From_normalised_direct_approach_to_most_advanced_inverse_problem_resolution">A review of characterisation and parameters identification of materials constitutive and damage models: From normalised direct approach to most advanced inverse problem resolution</a></div><div class="wp-workCard_item"><span>International Journal of Impact Engineering</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A review of characterisation and parameters identification of materials constitutive and damage m...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A review of characterisation and parameters identification of materials constitutive and damage models: from normalised direct approach to most advanced inverse problem resolution,</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="347fb6ca59478999d98e531cb6639694" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149436,"asset_id":123801018,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149436/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801018"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801018"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801018; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=123801018]").text(description); $(".js-view-count[data-work-id=123801018]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 123801018; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='123801018']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "347fb6ca59478999d98e531cb6639694" } } $('.js-work-strip[data-work-id=123801018]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":123801018,"title":"A review of characterisation and parameters identification of materials constitutive and damage models: From normalised direct approach to most advanced inverse problem resolution","internal_url":"https://www.academia.edu/123801018/A_review_of_characterisation_and_parameters_identification_of_materials_constitutive_and_damage_models_From_normalised_direct_approach_to_most_advanced_inverse_problem_resolution","owner_id":39454392,"coauthors_can_edit":true,"owner":{"id":39454392,"first_name":"Bertrand","middle_initials":null,"last_name":"Langrand","page_name":"BertrandLangrand","domain_name":"onera","created_at":"2015-11-30T04:16:47.267-08:00","display_name":"Bertrand Langrand","url":"https://onera.academia.edu/BertrandLangrand"},"attachments":[{"id":118149436,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118149436/thumbnails/1.jpg","file_name":"j.ijimpeng.2017.01.02820240912-1-pxkodp.pdf","download_url":"https://www.academia.edu/attachments/118149436/download_file","bulk_download_file_name":"A_review_of_characterisation_and_paramet.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118149436/j.ijimpeng.2017.01.02820240912-1-pxkodp-libre.pdf?1726129210=\u0026response-content-disposition=attachment%3B+filename%3DA_review_of_characterisation_and_paramet.pdf\u0026Expires=1739833998\u0026Signature=YXbaqwRarHX5JUhKptaCknJDfHwVwWu-S7-1ByCQAddLlnArjXpklIoUYkwMB5O2pdfKJobkZPbsr4VSJkalADaeoMJA8qv-MsDLAzI4Wu7Za8rko4ueHmcnsJkJOv8oS3ow9efMutXDshDtXIp7AfGWVOL8RSymh2WVinAM0meyt8p1tiVQ1-enIqG97aThr1LVjCjq4zHAk3bYuVJKVODQUc9gVYt8HyqcLGhWeapShW-qzig0RbceqOpTZm~vLUFA--9KUAX8sKI2C~VqvTH2ULynBqxeDZWt9AzBOxyAF7wOGud4mBPrfJz0K1v8eB3f4A42AVWuZVQrILIBuA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="123801017"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/123801017/Macro_modeling_of_spot_weld_strength_and_failure"><img alt="Research paper thumbnail of Macro-modeling of spot weld strength and failure" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/123801017/Macro_modeling_of_spot_weld_strength_and_failure">Macro-modeling of spot weld strength and failure</a></div><div class="wp-workCard_item"><span>Engineering Computations</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Purpose This paper aims to propose a macro modeling approach to simulate the mechanical behavior ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Purpose This paper aims to propose a macro modeling approach to simulate the mechanical behavior and the failure of spot welded joints in structural crashworthiness computations. Design/methodology/approach A connector element is proposed to simulate the behavior and failure of spot weld joints. An elastic-plastic damageable model is used to describe the non-linear response and rupture. The connector model involves several parameters that have to be defined. Some are directly identified based on mechanical interpretations and experimental tests characteristics. The remaining parameters are identified through a finite element model updating approach using Arcan tests. Resulting from a sensitivity analysis, an original two steps optimization methodology, using the Modes I and II Arcan tests results sequentially, has been implemented to identify the remaining model parameters. Findings The numerical results for Arcan tests in mixed Modes I/II are in a good agreement with the experiment...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801017"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801017"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801017; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=123801017]").text(description); $(".js-view-count[data-work-id=123801017]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 123801017; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='123801017']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=123801017]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":123801017,"title":"Macro-modeling of spot weld strength and failure","internal_url":"https://www.academia.edu/123801017/Macro_modeling_of_spot_weld_strength_and_failure","owner_id":39454392,"coauthors_can_edit":true,"owner":{"id":39454392,"first_name":"Bertrand","middle_initials":null,"last_name":"Langrand","page_name":"BertrandLangrand","domain_name":"onera","created_at":"2015-11-30T04:16:47.267-08:00","display_name":"Bertrand Langrand","url":"https://onera.academia.edu/BertrandLangrand"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="123801016"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/123801016/Identification_param%C3%A9trique_des_lois_de_comportement_de_lacier_XC48_en_compression_%C3%89volution_vers_une_m%C3%A9thode_inverse"><img alt="Research paper thumbnail of Identification paramétrique des lois de comportement de l'acier XC48 en compression. Évolution vers une méthode inverse" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/123801016/Identification_param%C3%A9trique_des_lois_de_comportement_de_lacier_XC48_en_compression_%C3%89volution_vers_une_m%C3%A9thode_inverse">Identification paramétrique des lois de comportement de l'acier XC48 en compression. Évolution vers une méthode inverse</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Des essais de compression sont menes sur un acier XC48 (norme AFNOR 1048AISI), sensible a la vite...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Des essais de compression sont menes sur un acier XC48 (norme AFNOR 1048AISI), sensible a la vitesse de deformation. Deux types d&#39;eprouvettes, tubulaire et haltere cylindrique, sont testees a differentes vitesses de deformation (10 -3 s -1 ≤ e ρ ≤ 150 s -1 ), c&#39;est-a-dire pour des vitesses d&#39;impact comprises entre 5 mm/min et 6 m/s. Le modele de Johnson-Cook est evalue a partir des courbes de compression de l&#39;acier XC48 (exprimees sous leur format rationnel) par une technique d&#39;identification parametrique, fondee sur les methodes de gradients conjugues. Une methode inverse est decrite, pour tenir compte des interactions entre l&#39;eprouvette et son environnement d&#39;essai.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801016"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801016"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801016; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=123801016]").text(description); $(".js-view-count[data-work-id=123801016]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 123801016; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='123801016']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=123801016]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":123801016,"title":"Identification paramétrique des lois de comportement de l'acier XC48 en compression. Évolution vers une méthode inverse","internal_url":"https://www.academia.edu/123801016/Identification_param%C3%A9trique_des_lois_de_comportement_de_lacier_XC48_en_compression_%C3%89volution_vers_une_m%C3%A9thode_inverse","owner_id":39454392,"coauthors_can_edit":true,"owner":{"id":39454392,"first_name":"Bertrand","middle_initials":null,"last_name":"Langrand","page_name":"BertrandLangrand","domain_name":"onera","created_at":"2015-11-30T04:16:47.267-08:00","display_name":"Bertrand Langrand","url":"https://onera.academia.edu/BertrandLangrand"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="123801012"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/123801012/Impact_of_DIC_biases_on_the_selection_process_of_a_unique_test_for_anisotropic_plasticity_characterization"><img alt="Research paper thumbnail of Impact of DIC biases on the selection process of a unique test for anisotropic plasticity characterization" class="work-thumbnail" src="https://attachments.academia-assets.com/118149412/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/123801012/Impact_of_DIC_biases_on_the_selection_process_of_a_unique_test_for_anisotropic_plasticity_characterization">Impact of DIC biases on the selection process of a unique test for anisotropic plasticity characterization</a></div><div class="wp-workCard_item"><span>EPJ Web of Conferences</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The exploitation of field measurements with inverse identification methods may reduce the number ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The exploitation of field measurements with inverse identification methods may reduce the number of required tests to characterize complex material constitutive models, provided that the generated stress field is sensitive enough to the targeted material parameters. For anisotropic elastoplastic material, the objective is to generate various stress states in the specimen through a single test. In this study, the effect of Digital Image Correlation measurement biases on the selection of the most suitable specimen geometry for characterisation of a complex anisotropic plasticity criterion using a unique uniaxial tensile test is investigated. To this aim, finite element (FE) based synthetic images are generated and DIC is used on these images. The biases in DIC measurement result in biased stress states that may cause errors in identification results.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9cf06df76e1bf449c2f51b2e83e90f99" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118149412,"asset_id":123801012,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118149412/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="123801012"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="123801012"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 123801012; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="104869546"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/104869546/The_Laplace_Virtual_Fields_Method_for_the_direct_extraction_of_viscoelastic_properties_of_materials"><img alt="Research paper thumbnail of The Laplace Virtual Fields Method for the direct extraction of viscoelastic properties of materials" class="work-thumbnail" src="https://attachments.academia-assets.com/104482354/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/104869546/The_Laplace_Virtual_Fields_Method_for_the_direct_extraction_of_viscoelastic_properties_of_materials">The Laplace Virtual Fields Method for the direct extraction of viscoelastic properties of materials</a></div><div class="wp-workCard_item"><span>Comptes Rendus. Mécanique</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This work proposes a new method aiming at the direct identification of viscoelastic properties of...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This work proposes a new method aiming at the direct identification of viscoelastic properties of materials with a Laplace formalism implemented in the Virtual Fields Method and named L-VFM. Using a single test, this formalism allows for a direct extraction of the different viscoelastic properties without any parametric description of their time dependency. The Laplace transform enables the use of theory of elasticity in the Laplace domain. The constitutive equations are expressed in the plane stress framework with the 2D plane stress stiffness coefficients. The conversion from the 2D plane stress stiffness coefficients to the bulk and shear moduli as well as Poisson's ratio and Young's modulus is realised in the Laplace domain. The inverse Laplace transform is then applied to these functions in order to obtain the temporal evolution of the material properties. The L-VFM changes the viscoelastic identification from a non-linear to a linear process.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="939a87d83249d38b40675ce52c6a4072" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":104482354,"asset_id":104869546,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/104482354/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="104869546"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="104869546"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 104869546; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="104869544"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/104869544/Experimental_and_numerical_simulation_strategies_for_the_prediction_of_the_macroscopic_behavior_and_rupture_of_structural_materials_under_fast_dynamic_loadings"><img alt="Research paper thumbnail of Experimental and numerical simulation strategies for the prediction of the macroscopic behavior and rupture of structural materials under fast dynamic loadings" class="work-thumbnail" src="https://attachments.academia-assets.com/104482359/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/104869544/Experimental_and_numerical_simulation_strategies_for_the_prediction_of_the_macroscopic_behavior_and_rupture_of_structural_materials_under_fast_dynamic_loadings">Experimental and numerical simulation strategies for the prediction of the macroscopic behavior and rupture of structural materials under fast dynamic loadings</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The presented research has been done at ONERA The French Aerospace Lab, in collaboration with man...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The presented research has been done at ONERA The French Aerospace Lab, in collaboration with many academic and industrial partners. They are aimed at improving the safety and protection of passengers and crew in aircraft transport, thanks to an increased resistance of structures and decrease of high energy impacts vulnerability. This paper gives an overview of recent progress made in the experimental and numerical fields to better predict the dynamic behavior and strength of primary structure materials. In this frame, the particular questions of the mechanical characterization and numerical modeling of behavior and damage laws, of crack initiation and propagation, and of failure (be it ductile or fragile) are addressed. The described results concern both bulk materials (e.g., metals) and structured materials (e.g., composite laminates), at the macroscale level for the former and mesoscale level for the latter.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="96aa775faa64783382ef176cf584908b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":104482359,"asset_id":104869544,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/104482359/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="104869544"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="104869544"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 104869544; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="104869543"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/104869543/Conception_dun_essai_purement_inertiel_pour_la_caract%C3%A9risation_du_comportement_dynamique_de_mat%C3%A9riaux_m%C3%A9talliques_par_la_M%C3%A9thode_des_Champs_Virtuels"><img alt="Research paper thumbnail of Conception d'un essai purement inertiel pour la caractérisation du comportement dynamique de matériaux métalliques par la Méthode des Champs Virtuels" class="work-thumbnail" src="https://attachments.academia-assets.com/104482353/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/104869543/Conception_dun_essai_purement_inertiel_pour_la_caract%C3%A9risation_du_comportement_dynamique_de_mat%C3%A9riaux_m%C3%A9talliques_par_la_M%C3%A9thode_des_Champs_Virtuels">Conception d'un essai purement inertiel pour la caractérisation du comportement dynamique de matériaux métalliques par la Méthode des Champs Virtuels</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The following work aims at designing a novel test to characterize the dynamic behaviour of metall...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The following work aims at designing a novel test to characterize the dynamic behaviour of metallic materials. Using the Virtual Fields Method (VFM), this test should enable the identification of elasticviscoplastic model that is valid on a wide strain and strain-rate range. In order to do so, several test settings including notably several specimen geometries are simulated. Two criteria will govern the selection : (1) the strain and the strain-rate range (2) the identifiability of the parameters. Whereas the 23ème Congrès Français de Mécanique Lille, 28 au 1er Septembre 2017 first criterion is rated with an advanced processing of the mechanical fields, the other is evaluated based on FE simulations reproducing the shooting procedure with a Ultra-High-Speed camera. Finally, the extraction of the material parameters demonstrates the relevance of the test setting. Mots clefs : Méthode des Champs Virtuels, Méthode de grille ; DIC ; Dynamique ; Identification</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="45127039a4b6a26989cd8218d06cb9c1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":104482353,"asset_id":104869543,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/104482353/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="104869543"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="104869543"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 104869543; 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